Triple
T19023765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onn Jaafar |
E465553
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jaafar |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jaafar | Statement: [Onn Jaafar, familyName, Jaafar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaafar Context triple: [Onn Jaafar, familyName, Jaafar]
-
A.
Jaafar
chosen
Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
-
B.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
-
C.
Mir Jafar
Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
-
D.
Jafar Khan
Jafar Khan was an 18th-century ruler in eastern India who succeeded Murshid Quli Khan in the leadership of the Bengal Subah under the Mughal Empire.
-
E.
Jafar
Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e166088190937ef19739437f7c |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.